Esempio n. 1
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def main():
    idc = IressDataClient()
    idc.connect()

    announcements = idc.execute(
        DfsText.constants.dfsDataTextHeadline,
        dict(
            Code='BHP',
            StartDateTime='2008-01-01',
            EndDateTime='2009-01-01',
        ))

    # Only consider market sensitive announcemens.
    market_sensitive = [
        x for x in announcements if x['MarketSensitive'] == 'Y'
    ]
    for index, headline in enumerate(market_sensitive):
        print '%d: %s' % (index, headline['Headline'])
        print headline['GMTDate']
        bodytext = '\n'.join(headline['DataText'].execute())

        # Write out body text stripping non-ascii unicode. Iress
        # returns text as unicode but the Windows prompt
        # doesn't seem to like UTF-8!
        print bodytext.encode('ascii', 'ignore')

        # Only print first 20 announcements beacuse we're hitting
        # Iress for every bodytext request.
        if index > 20:
            break
Esempio n. 2
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def main():
    idc = IressDataClient()
    idc.connect()

    announcements = idc.execute(DfsText.constants.dfsDataTextHeadline, dict(
        Code='BHP',
        StartDateTime='2008-01-01',
        EndDateTime='2009-01-01',
    ))

    # Only consider market sensitive announcemens.
    market_sensitive = [x for x in announcements if x['MarketSensitive'] == 'Y']
    for index, headline in enumerate(market_sensitive):
        print '%d: %s' % (index, headline['Headline'])
        print headline['GMTDate']
        bodytext = '\n'.join(headline['DataText'].execute())

        # Write out body text stripping non-ascii unicode. Iress
        # returns text as unicode but the Windows prompt
        # doesn't seem to like UTF-8!
        print bodytext.encode('ascii', 'ignore')

        # Only print first 20 announcements beacuse we're hitting
        # Iress for every bodytext request.
        if index > 20:
            break
Esempio n. 3
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"""
Example usage of iress.IressDataClient to fetch weekly close
prices of BHP.

Outputs BHP's weekly close price for 2008 as CSV.

"""

import operator
from iress import IressDataClient, DfsTimeSeries

if __name__ == '__main__':
    idc = IressDataClient()
    idc.connect()

    # Fetch timeseries data for BHP during 2008.
    timeseries = idc.execute(DfsTimeSeries.constants.dfsDataTimeSeries, dict(
        Security='BHP',
        Exchange='ASX',
        Start='01/01/2008',
        End='31/12/2008',
        Frequency=DfsTimeSeries.constants.Weekly,
        Adjusted=True,
    ))
    
    # Output date and close price as csv.
    print 'Date,Close'
    for x in sorted(timeseries, key=operator.itemgetter('Date')):
        print '%s,%f' % (x['Date'].Format('%Y-%m-%d'), x['ClosePrice']/100.0)
Esempio n. 4
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"""
Example usage of iress.IressDataClient that fetches all financials
for BHP during 2008.

"""

import pprint
from iress import IressDataClient, DfsSec

if __name__ == '__main__':
    idc = IressDataClient()
    idc.connect()

    financials = idc.execute(DfsSec.constants.dfsDataFinancial, dict(
        Security='BHP',
        Exchange='ASX',
        StartDate='2008-01-01',
        EndDate='2009-01-01',
        ItemList=-1,
        AnnualReport=True,
        QuarterlyReport=True,
        InterimReport=True,
        PreliminaryReport=True,
    ))  
    pprint.pprint(financials)